On-site
Mid Level
Posted January 06, 2026
Tech Stack
scala
java
spark
kafka
kubernetes
airflow
apache-airflow
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers.
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies.
**Description**
As a team member of the ASE Data Engineering team, you will have significant responsibility and influence in shaping its future direction. This role is inherently cross-functional and the ideal candidate will work across disciplines. We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipeline.
This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication, as well as, a belief that data driven processes lead to phenomenal products. You will need to have a passion for quality and an ability to understand sophisticated systems.
","responsibilities":"Work with a multi-functional team collaborating with several partners across product, engineering, operations and business; and closely partner with stakeholders to translate requirements to scalable engineering solutions
Help drive architectural vision to be ready for future opportunities
Design, build and maintain data pipelines and data sets serving key product features and insights protecting user privacy
Own data quality, scalability and SLAs for the allocated datasets and pipelines
Be a champion for technical excellence, and cultivate team spirit by contributing to standard methodologies, documentation, shared tools and solutions to common problems
**Preferred Qualifications**
Experience with GDPR compliance and techniques in collecting and sharing data
Excellent collaboration and communication skills to be able to listen, influence and drive solutions cohesively
**Minimum Qualifications**
BS or MS in Computer Science or a related field with 3+ years experience.
3+ years of proficiency in Scala and functional programming paradigms, or other object-oriented languages like Java.
Strong computer science fundamentals with proven problem solving skills.
Deep understanding of distributed batch and streaming data processing systems like Spark/Kafka.
Experience with technologies in big data ecosystem such as Kubernetes, Airflow.
Proven track record designing, launching and scaling production quality data pipelines which drive product features.
Keen data sense backed by strong SQL, and data visualization skills.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .